SHHS2 Exploratory Data Analysis

Dataset statistics

Number of variables	23
Number of observations	4080
Missing cells	23419
Missing cells (%)	25.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	733.2 KiB
Average record size in memory	184.0 B

Variable types

Numeric	15
Categorical	8

Warnings

`slpeffp` is highly correlated with `slpprdp` and 1 other fields	High correlation
`slpprdp` is highly correlated with `slpeffp`	High correlation
`times34p` is highly correlated with `timest2p`	High correlation
`timest2p` is highly correlated with `times34p`	High correlation
`waso` is highly correlated with `slpeffp`	High correlation
`rdi3p` is highly correlated with `ai_all` and 1 other fields	High correlation
`ai_all` is highly correlated with `rdi3p`	High correlation
`avgsat` is highly correlated with `minsat`	High correlation
`minsat` is highly correlated with `rdi3p` and 1 other fields	High correlation
`saqli` is highly correlated with `fosq`	High correlation
`fosq` is highly correlated with `saqli`	High correlation
`sh308a` is highly correlated with `sh308b`	High correlation
`sh308b` is highly correlated with `sh308a` and 1 other fields	High correlation
`sh308c` is highly correlated with `sh308b`	High correlation
`sh308d` is highly correlated with `sh308e`	High correlation
`sh308e` is highly correlated with `sh308d`	High correlation
`slpeffp` is highly correlated with `slpprdp` and 1 other fields	High correlation
`slpprdp` is highly correlated with `slpeffp`	High correlation
`times34p` is highly correlated with `timest2p`	High correlation
`timest2p` is highly correlated with `times34p`	High correlation
`waso` is highly correlated with `slpeffp`	High correlation
`rdi3p` is highly correlated with `minsat`	High correlation
`avgsat` is highly correlated with `minsat`	High correlation
`minsat` is highly correlated with `rdi3p` and 1 other fields	High correlation
`saqli` is highly correlated with `fosq`	High correlation
`fosq` is highly correlated with `saqli`	High correlation
`sh308a` is highly correlated with `sh308b`	High correlation
`sh308b` is highly correlated with `sh308a` and 1 other fields	High correlation
`sh308c` is highly correlated with `sh308b`	High correlation
`sh308d` is highly correlated with `sh308e`	High correlation
`sh308e` is highly correlated with `sh308d`	High correlation
`supinep` is highly correlated with `race`	High correlation
`slpeffp` is highly correlated with `waso` and 1 other fields	High correlation
`slpprdp` is highly correlated with `race`	High correlation
`timeremp` is highly correlated with `race`	High correlation
`times34p` is highly correlated with `timest2p` and 1 other fields	High correlation
`timest1p` is highly correlated with `gender` and 1 other fields	High correlation
`timest2p` is highly correlated with `times34p` and 2 other fields	High correlation
`waso` is highly correlated with `slpeffp` and 2 other fields	High correlation
`rdi3p` is highly correlated with `minsat` and 2 other fields	High correlation
`ai_all` is highly correlated with `gender` and 1 other fields	High correlation
`avgsat` is highly correlated with `race`	High correlation
`minsat` is highly correlated with `rdi3p` and 1 other fields	High correlation
`gender` is highly correlated with `timest1p` and 5 other fields	High correlation
`race` is highly correlated with `supinep` and 12 other fields	High correlation
`saqli` is highly correlated with `sh308d` and 2 other fields	High correlation
`fosq` is highly correlated with `sh308d` and 1 other fields	High correlation
`sh308d` is highly correlated with `saqli` and 1 other fields	High correlation
`sh308e` is highly correlated with `saqli` and 1 other fields	High correlation
`sh308f` is highly correlated with `saqli`	High correlation
`timeremp` is highly correlated with `timest2p`	High correlation
`slpprdp` is highly correlated with `slpeffp`	High correlation
`minsat` is highly correlated with `avgsat`	High correlation
`sh308b` is highly correlated with `sh308c` and 2 other fields	High correlation
`avgsat` is highly correlated with `minsat`	High correlation
`rdi3p` is highly correlated with `ai_all`	High correlation
`ai_all` is highly correlated with `rdi3p`	High correlation
`waso` is highly correlated with `slpeffp`	High correlation
`times34p` is highly correlated with `gender` and 1 other fields	High correlation
`gender` is highly correlated with `times34p`	High correlation
`sh308e` is highly correlated with `fosq` and 3 other fields	High correlation
`sh308c` is highly correlated with `sh308b` and 2 other fields	High correlation
`fosq` is highly correlated with `sh308e` and 2 other fields	High correlation
`timest2p` is highly correlated with `timeremp` and 1 other fields	High correlation
`timest1p` is highly correlated with `slpeffp`	High correlation
`sh308a` is highly correlated with `sh308b` and 2 other fields	High correlation
`slpeffp` is highly correlated with `slpprdp` and 2 other fields	High correlation
`sh308f` is highly correlated with `sh308b` and 4 other fields	High correlation
`saqli` is highly correlated with `sh308e` and 2 other fields	High correlation
`sh308d` is highly correlated with `sh308e` and 3 other fields	High correlation
`supinep` has 1442 (35.3%) missing values	Missing
`slpeffp` has 1429 (35.0%) missing values	Missing
`slpprdp` has 1429 (35.0%) missing values	Missing
`timeremp` has 1460 (35.8%) missing values	Missing
`times34p` has 1460 (35.8%) missing values	Missing
`timest1p` has 1460 (35.8%) missing values	Missing
`timest2p` has 1460 (35.8%) missing values	Missing
`waso` has 1429 (35.0%) missing values	Missing
`rdi3p` has 1429 (35.0%) missing values	Missing
`ai_all` has 1467 (36.0%) missing values	Missing
`avgsat` has 1429 (35.0%) missing values	Missing
`minsat` has 1429 (35.0%) missing values	Missing
`saqli` has 2890 (70.8%) missing values	Missing
`fosq` has 2895 (71.0%) missing values	Missing
`sh308a` has 46 (1.1%) missing values	Missing
`sh308b` has 47 (1.2%) missing values	Missing
`sh308c` has 50 (1.2%) missing values	Missing
`sh308d` has 57 (1.4%) missing values	Missing
`sh308e` has 51 (1.2%) missing values	Missing
`sh308f` has 60 (1.5%) missing values	Missing
`supinep` has 344 (8.4%) zeros	Zeros
`times34p` has 122 (3.0%) zeros	Zeros

Reproduction

Analysis started	2021-09-08 00:35:06.904239
Analysis finished	2021-09-08 00:35:36.088094
Duration	29.18 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

supinep
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	102
Distinct (%)	3.9%
Missing	1442
Missing (%)	35.3%
Infinite	0
Infinite (%)	0.0%
Mean	35.37604246

Minimum	0
Maximum	101
Zeros	344
Zeros (%)	8.4%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	9
median	29
Q3	57
95-th percentile	97
Maximum	101
Range	101
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	30.2725639
Coefficient of variation (CV)	0.8557363062
Kurtosis	-0.7091130449
Mean	35.37604246
Median Absolute Deviation (MAD)	23
Skewness	0.6249746412
Sum	93322
Variance	916.4281251
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	344	8.4%
100	107	2.6%
1	60	1.5%
2	45	1.1%
19	40	1.0%
20	40	1.0%
15	40	1.0%
12	39	1.0%
13	39	1.0%
10	38	0.9%
Other values (92)	1846	45.2%
(Missing)	1442	35.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	344	8.4%
1	60	1.5%
2	45	1.1%
3	34	0.8%
4	34	0.8%
5	30	0.7%
6	32	0.8%
7	31	0.8%
8	33	0.8%
9	34	0.8%

Value	Count	Frequency (%)
101	10	0.2%
100	107	2.6%
99	10	0.2%
98	4	0.1%
97	12	0.3%
96	5	0.1%
95	10	0.2%
94	6	0.1%
93	7	0.2%
92	12	0.3%

slpeffp
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	499
Distinct (%)	18.8%
Missing	1429
Missing (%)	35.0%
Infinite	0
Infinite (%)	0.0%
Mean	79.17057714

Minimum	24.4
Maximum	98.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	24.4
5-th percentile	56.4
Q1	73.2
median	81.5
Q3	87.6
95-th percentile	93.5
Maximum	98.8
Range	74.4
Interquartile range (IQR)	14.4

Descriptive statistics

Standard deviation	11.64327784
Coefficient of variation (CV)	0.1470657189
Kurtosis	1.755317017
Mean	79.17057714
Median Absolute Deviation (MAD)	6.9
Skewness	-1.193223641
Sum	209881.2
Variance	135.5659189
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88.4	22	0.5%
80.2	18	0.4%
87.4	17	0.4%
85.6	17	0.4%
86.7	17	0.4%
78.6	16	0.4%
82.4	16	0.4%
84.9	15	0.4%
85.2	15	0.4%
86.2	15	0.4%
Other values (489)	2483	60.9%
(Missing)	1429	35.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
24.4	1	< 0.1%
25.5	1	< 0.1%
26.9	1	< 0.1%
27.9	1	< 0.1%
30.4	1	< 0.1%
30.7	1	< 0.1%
31.1	1	< 0.1%
33.4	1	< 0.1%
33.7	1	< 0.1%
34.2	1	< 0.1%

Value	Count	Frequency (%)
98.8	1	< 0.1%
97.7	1	< 0.1%
97.6	3	0.1%
97.4	1	< 0.1%
97.3	1	< 0.1%
97	2	< 0.1%
96.9	1	< 0.1%
96.8	1	< 0.1%
96.7	1	< 0.1%
96.6	4	0.1%

slpprdp
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	359
Distinct (%)	13.5%
Missing	1429
Missing (%)	35.0%
Infinite	0
Infinite (%)	0.0%
Mean	374.0637495

Minimum	68
Maximum	605
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	68
5-th percentile	249
Q1	336
median	381
Q3	417
95-th percentile	480
Maximum	605
Range	537
Interquartile range (IQR)	81

Descriptive statistics

Standard deviation	69.36444695
Coefficient of variation (CV)	0.1854348277
Kurtosis	0.8719978267
Mean	374.0637495
Median Absolute Deviation (MAD)	40
Skewness	-0.5201543567
Sum	991643
Variance	4811.426501
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
384	32	0.8%
402	29	0.7%
372	26	0.6%
404	24	0.6%
417	23	0.6%
387	22	0.5%
394	22	0.5%
373	21	0.5%
380	21	0.5%
399	21	0.5%
Other values (349)	2410	59.1%
(Missing)	1429	35.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
68	1	< 0.1%
98	1	< 0.1%
108	2	< 0.1%
112	1	< 0.1%
116	1	< 0.1%
117	1	< 0.1%
133	1	< 0.1%
138	1	< 0.1%
143	1	< 0.1%
147	1	< 0.1%

Value	Count	Frequency (%)
605	1	< 0.1%
583	1	< 0.1%
563	1	< 0.1%
552	1	< 0.1%
551	1	< 0.1%
550	1	< 0.1%
544	1	< 0.1%
542	1	< 0.1%
541	1	< 0.1%
540	1	< 0.1%

timeremp
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	45
Distinct (%)	1.7%
Missing	1460
Missing (%)	35.8%
Infinite	0
Infinite (%)	0.0%
Mean	20.73549618

Minimum	0
Maximum	48
Zeros	13
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	17
median	21
Q3	25
95-th percentile	31
Maximum	48
Range	48
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.466340105
Coefficient of variation (CV)	0.3118488243
Kurtosis	0.6807289508
Mean	20.73549618
Median Absolute Deviation (MAD)	4
Skewness	-0.1575034734
Sum	54327
Variance	41.81355435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
21	178	4.4%
23	172	4.2%
22	168	4.1%
24	167	4.1%
20	163	4.0%
18	157	3.8%
19	154	3.8%
17	141	3.5%
25	141	3.5%
26	116	2.8%
Other values (35)	1063	26.1%
(Missing)	1460	35.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	13	0.3%
1	2	< 0.1%
2	6	0.1%
3	8	0.2%
4	4	0.1%
5	10	0.2%
6	12	0.3%
7	23	0.6%
8	17	0.4%
9	29	0.7%

Value	Count	Frequency (%)
48	1	< 0.1%
47	1	< 0.1%
42	3	0.1%
41	2	< 0.1%
40	3	0.1%
39	4	0.1%
38	4	0.1%
37	8	0.2%
36	8	0.2%
35	7	0.2%

times34p
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	58
Distinct (%)	2.2%
Missing	1460
Missing (%)	35.8%
Infinite	0
Infinite (%)	0.0%
Mean	15.94503817

Minimum	0
Maximum	59
Zeros	122
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	7
median	15
Q3	23
95-th percentile	36
Maximum	59
Range	59
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	10.95616044
Coefficient of variation (CV)	0.6871203644
Kurtosis	0.09104725357
Mean	15.94503817
Median Absolute Deviation (MAD)	8
Skewness	0.6000274144
Sum	41776
Variance	120.0374515
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	122	3.0%
16	101	2.5%
15	98	2.4%
19	97	2.4%
1	96	2.4%
3	90	2.2%
18	87	2.1%
17	86	2.1%
13	86	2.1%
14	85	2.1%
Other values (48)	1672	41.0%
(Missing)	1460	35.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	122	3.0%
1	96	2.4%
2	84	2.1%
3	90	2.2%
4	81	2.0%
5	75	1.8%
6	76	1.9%
7	84	2.1%
8	64	1.6%
9	72	1.8%

Value	Count	Frequency (%)
59	2	< 0.1%
58	1	< 0.1%
56	1	< 0.1%
55	2	< 0.1%
53	2	< 0.1%
52	1	< 0.1%
51	3	0.1%
50	2	< 0.1%
49	2	< 0.1%
48	1	< 0.1%

timest1p
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	1.2%
Missing	1460
Missing (%)	35.8%
Infinite	0
Infinite (%)	0.0%
Mean	5.755725191

Minimum	0
Maximum	38
Zeros	12
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	14
Maximum	38
Range	38
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.999983969
Coefficient of variation (CV)	0.694957427
Kurtosis	6.619406008
Mean	5.755725191
Median Absolute Deviation (MAD)	2
Skewness	1.988752181
Sum	15080
Variance	15.99987175
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
3	379	9.3%
4	364	8.9%
5	348	8.5%
2	302	7.4%
6	263	6.4%
7	210	5.1%
8	148	3.6%
1	131	3.2%
9	113	2.8%
10	82	2.0%
Other values (21)	280	6.9%
(Missing)	1460	35.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12	0.3%
1	131	3.2%
2	302	7.4%
3	379	9.3%
4	364	8.9%
5	348	8.5%
6	263	6.4%
7	210	5.1%
8	148	3.6%
9	113	2.8%

Value	Count	Frequency (%)
38	1	< 0.1%
33	1	< 0.1%
30	1	< 0.1%
29	1	< 0.1%
28	3	0.1%
25	3	0.1%
24	3	0.1%
23	3	0.1%
22	6	0.1%
21	5	0.1%

timest2p
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	71
Distinct (%)	2.7%
Missing	1460
Missing (%)	35.8%
Infinite	0
Infinite (%)	0.0%
Mean	57.71183206

Minimum	20
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	20
5-th percentile	39
Q1	50
median	58
Q3	66
95-th percentile	75
Maximum	98
Range	78
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.05143366
Coefficient of variation (CV)	0.1914933779
Kurtosis	-0.06402875397
Mean	57.71183206
Median Absolute Deviation (MAD)	8
Skewness	-0.07911462411
Sum	151205
Variance	122.134186
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
62	101	2.5%
57	97	2.4%
55	97	2.4%
61	90	2.2%
56	87	2.1%
67	87	2.1%
59	86	2.1%
60	86	2.1%
54	86	2.1%
63	83	2.0%
Other values (61)	1720	42.2%
(Missing)	1460	35.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	1	< 0.1%
23	2	< 0.1%
24	1	< 0.1%
25	1	< 0.1%
26	4	0.1%
28	4	0.1%
29	4	0.1%
30	3	0.1%
31	6	0.1%
32	4	0.1%

Value	Count	Frequency (%)
98	1	< 0.1%
94	1	< 0.1%
93	1	< 0.1%
92	1	< 0.1%
89	1	< 0.1%
88	2	< 0.1%
87	4	0.1%
86	4	0.1%
85	4	0.1%
84	4	0.1%

waso
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	262
Distinct (%)	9.9%
Missing	1429
Missing (%)	35.0%
Infinite	0
Infinite (%)	0.0%
Mean	80.19113542

Minimum	2
Maximum	378
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	2
5-th percentile	19
Q1	39
median	68
Q3	107
95-th percentile	189
Maximum	378
Range	376
Interquartile range (IQR)	68

Descriptive statistics

Standard deviation	54.75985179
Coefficient of variation (CV)	0.6828666474
Kurtosis	2.935467395
Mean	80.19113542
Median Absolute Deviation (MAD)	32
Skewness	1.46244969
Sum	212586.7
Variance	2998.641368
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
49	34	0.8%
38	33	0.8%
34	32	0.8%
24	32	0.8%
39	32	0.8%
32	32	0.8%
26	31	0.8%
65	30	0.7%
42	29	0.7%
70	28	0.7%
Other values (252)	2338	57.3%
(Missing)	1429	35.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	< 0.1%
4	2	< 0.1%
5	4	0.1%
6	2	< 0.1%
7	4	0.1%
8	7	0.2%
9	4	0.1%
10	5	0.1%
11	6	0.1%
12	11	0.3%

Value	Count	Frequency (%)
378	1	< 0.1%
375	1	< 0.1%
371	1	< 0.1%
355	1	< 0.1%
352	1	< 0.1%
335	1	< 0.1%
330	1	< 0.1%
321	1	< 0.1%
317	1	< 0.1%
303	1	< 0.1%

rdi3p
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1815
Distinct (%)	68.5%
Missing	1429
Missing (%)	35.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.91666541

Minimum	0
Maximum	117.6
Zeros	11
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1.05
Q1	5.015
median	10.89
Q3	21.465
95-th percentile	48.055
Maximum	117.6
Range	117.6
Interquartile range (IQR)	16.45

Descriptive statistics

Standard deviation	15.6021567
Coefficient of variation (CV)	0.980240289
Kurtosis	4.065626194
Mean	15.91666541
Median Absolute Deviation (MAD)	7.16
Skewness	1.83229892
Sum	42195.08
Variance	243.4272937
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	11	0.3%
1.58	6	0.1%
6.03	6	0.1%
3.32	5	0.1%
0.52	5	0.1%
4.42	5	0.1%
7.54	5	0.1%
10.45	5	0.1%
4.92	5	0.1%
7.92	5	0.1%
Other values (1805)	2593	63.6%
(Missing)	1429	35.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11	0.3%
0.12	1	< 0.1%
0.13	1	< 0.1%
0.14	2	< 0.1%
0.15	2	< 0.1%
0.16	2	< 0.1%
0.17	4	0.1%
0.22	1	< 0.1%
0.23	1	< 0.1%
0.29	3	0.1%

Value	Count	Frequency (%)
117.6	1	< 0.1%
107.48	1	< 0.1%
90.85	1	< 0.1%
90.46	1	< 0.1%
88.91	1	< 0.1%
86.83	1	< 0.1%
86.11	1	< 0.1%
85.03	1	< 0.1%
84.06	1	< 0.1%
84	1	< 0.1%

ai_all
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1685
Distinct (%)	64.5%
Missing	1467
Missing (%)	36.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.36719097

Minimum	2.6
Maximum	81.38
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	2.6
5-th percentile	6.746
Q1	11.43
median	16.19
Q3	22.65
95-th percentile	36.652
Maximum	81.38
Range	78.78
Interquartile range (IQR)	11.22

Descriptive statistics

Standard deviation	10.15274789
Coefficient of variation (CV)	0.5527654126
Kurtosis	5.413080685
Mean	18.36719097
Median Absolute Deviation (MAD)	5.4
Skewness	1.81965625
Sum	47993.47
Variance	103.0782898
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	12	0.3%
12	6	0.1%
13.56	6	0.1%
30	6	0.1%
14.81	6	0.1%
20	6	0.1%
12.05	6	0.1%
17.58	5	0.1%
10.67	5	0.1%
11.82	5	0.1%
Other values (1675)	2550	62.5%
(Missing)	1467	36.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.6	1	< 0.1%
2.88	1	< 0.1%
3.15	1	< 0.1%
3.26	1	< 0.1%
3.38	1	< 0.1%
3.4	1	< 0.1%
3.46	1	< 0.1%
3.48	1	< 0.1%
3.61	1	< 0.1%
3.66	3	0.1%

Value	Count	Frequency (%)
81.38	1	< 0.1%
80.59	1	< 0.1%
80.56	1	< 0.1%
78.4	1	< 0.1%
75.32	1	< 0.1%
74.82	1	< 0.1%
71	1	< 0.1%
69.95	1	< 0.1%
68.82	1	< 0.1%
66.93	1	< 0.1%

avgsat
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	19
Distinct (%)	0.7%
Missing	1429
Missing (%)	35.0%
Infinite	0
Infinite (%)	0.0%
Mean	94.14371935

Minimum	75
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	75
5-th percentile	91
Q1	93
median	94
Q3	95
95-th percentile	97
Maximum	100
Range	25
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.955567082
Coefficient of variation (CV)	0.02077214599
Kurtosis	5.633713254
Mean	94.14371935
Median Absolute Deviation (MAD)	1
Skewness	-1.178914645
Sum	249575
Variance	3.824242614
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
95	599	14.7%
94	576	14.1%
93	415	10.2%
96	394	9.7%
92	230	5.6%
97	176	4.3%
91	112	2.7%
90	54	1.3%
98	44	1.1%
89	18	0.4%
Other values (9)	33	0.8%
(Missing)	1429	35.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
75	1	< 0.1%
83	4	0.1%
84	1	< 0.1%
85	2	< 0.1%
86	1	< 0.1%
87	6	0.1%
88	13	0.3%
89	18	0.4%
90	54	1.3%
91	112	2.7%

Value	Count	Frequency (%)
100	1	< 0.1%
99	4	0.1%
98	44	1.1%
97	176	4.3%
96	394	9.7%
95	599	14.7%
94	576	14.1%
93	415	10.2%
92	230	5.6%
91	112	2.7%

minsat
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	45
Distinct (%)	1.7%
Missing	1429
Missing (%)	35.0%
Infinite	0
Infinite (%)	0.0%
Mean	84.24971709

Minimum	43
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	43
5-th percentile	73
Q1	82
median	85
Q3	88
95-th percentile	91
Maximum	97
Range	54
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	5.879631849
Coefficient of variation (CV)	0.06978814947
Kurtosis	4.433815536
Mean	84.24971709
Median Absolute Deviation (MAD)	3
Skewness	-1.543389233
Sum	223346
Variance	34.57007067
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
88	242	5.9%
86	235	5.8%
87	226	5.5%
89	208	5.1%
84	189	4.6%
90	183	4.5%
85	183	4.5%
83	160	3.9%
82	148	3.6%
91	122	3.0%
Other values (35)	755	18.5%
(Missing)	1429	35.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
43	1	< 0.1%
48	1	< 0.1%
49	2	< 0.1%
50	1	< 0.1%
54	1	< 0.1%
56	2	< 0.1%
57	2	< 0.1%
60	2	< 0.1%
61	3	0.1%
62	2	< 0.1%

Value	Count	Frequency (%)
97	1	< 0.1%
96	1	< 0.1%
95	4	0.1%
94	10	0.2%
93	34	0.8%
92	54	1.3%
91	122	3.0%
90	183	4.5%
89	208	5.1%
88	242	5.9%

gender
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	231.2 KiB

2	2219
1	1861

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4080
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	2219	54.4%
1	1861	45.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	2219	54.4%
1	1861	45.6%

Most occurring characters

Value	Count	Frequency (%)
2	2219	54.4%
1	1861	45.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4080	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	2219	54.4%
1	1861	45.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	4080	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	2219	54.4%
1	1861	45.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4080	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	2219	54.4%
1	1861	45.6%

race
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	231.2 KiB

1	3587
2	256
3	237

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4080
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	3
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	3587	87.9%
2	256	6.3%
3	237	5.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	3587	87.9%
2	256	6.3%
3	237	5.8%

Most occurring characters

Value	Count	Frequency (%)
1	3587	87.9%
2	256	6.3%
3	237	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4080	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3587	87.9%
2	256	6.3%
3	237	5.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	4080	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	3587	87.9%
2	256	6.3%
3	237	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4080	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3587	87.9%
2	256	6.3%
3	237	5.8%

age_s1
Real number (ℝ_≥0)

Distinct	52
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	63.1129902

Minimum	39
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	39
5-th percentile	45
Q1	55
median	63
Q3	71
95-th percentile	80
Maximum	90
Range	51
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	10.60183242
Coefficient of variation (CV)	0.1679817797
Kurtosis	-0.6875224477
Mean	63.1129902
Median Absolute Deviation (MAD)	8
Skewness	-0.05832758207
Sum	257501
Variance	112.3988506
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
57	161	3.9%
58	143	3.5%
59	142	3.5%
74	142	3.5%
69	140	3.4%
62	137	3.4%
56	136	3.3%
61	135	3.3%
54	134	3.3%
55	132	3.2%
Other values (42)	2678	65.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
39	4	0.1%
40	33	0.8%
41	28	0.7%
42	38	0.9%
43	42	1.0%
44	39	1.0%
45	52	1.3%
46	42	1.0%
47	65	1.6%
48	52	1.3%

Value	Count	Frequency (%)
90	7	0.2%
89	3	0.1%
88	3	0.1%
87	4	0.1%
86	10	0.2%
85	17	0.4%
84	21	0.5%
83	25	0.6%
82	39	1.0%
81	38	0.9%

saqli
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	61
Distinct (%)	5.1%
Missing	2890
Missing (%)	70.8%
Infinite	0
Infinite (%)	0.0%
Mean	6.007563025

Minimum	1.5
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	1.5
5-th percentile	4.3915
Q1	5.64
median	6.21
Q3	6.57
95-th percentile	6.93
Maximum	7
Range	5.5
Interquartile range (IQR)	0.93

Descriptive statistics

Standard deviation	0.8256179645
Coefficient of variation (CV)	0.1374297633
Kurtosis	3.180302967
Mean	6.007563025
Median Absolute Deviation (MAD)	0.43
Skewness	-1.570026868
Sum	7149
Variance	0.6816450234
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.36	68	1.7%
6.5	64	1.6%
6.86	63	1.5%
6.29	61	1.5%
6.64	58	1.4%
6.07	56	1.4%
6.71	56	1.4%
6.93	55	1.3%
6.21	52	1.3%
6.43	51	1.2%
Other values (51)	606	14.9%
(Missing)	2890	70.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.5	1	< 0.1%
1.86	1	< 0.1%
2.21	1	< 0.1%
2.36	1	< 0.1%
2.43	2	< 0.1%
2.57	1	< 0.1%
2.86	1	< 0.1%
3.07	2	< 0.1%
3.14	2	< 0.1%
3.29	2	< 0.1%

Value	Count	Frequency (%)
7	20	0.5%
6.93	55	1.3%
6.86	63	1.5%
6.79	36	0.9%
6.71	56	1.4%
6.64	58	1.4%
6.57	46	1.1%
6.5	64	1.6%
6.43	51	1.2%
6.36	68	1.7%

fosq
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	267
Distinct (%)	22.5%
Missing	2895
Missing (%)	71.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.51459916

Minimum	6.96
Maximum	13.17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.0 KiB

Quantile statistics

Minimum	6.96
5-th percentile	9.882
Q1	11.17
median	11.75
Q3	12.09
95-th percentile	12.29
Maximum	13.17
Range	6.21
Interquartile range (IQR)	0.92

Descriptive statistics

Standard deviation	0.8272743194
Coefficient of variation (CV)	0.07184568982
Kurtosis	4.910224545
Mean	11.51459916
Median Absolute Deviation (MAD)	0.43
Skewness	-1.88324814
Sum	13644.8
Variance	0.6843827995
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.18	106	2.6%
12.29	98	2.4%
12.07	37	0.9%
12.13	30	0.7%
11.93	26	0.6%
12.04	25	0.6%
11.89	21	0.5%
12.01	20	0.5%
11.96	18	0.4%
11.82	15	0.4%
Other values (257)	789	19.3%
(Missing)	2895	71.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6.96	1	< 0.1%
7	1	< 0.1%
7.04	1	< 0.1%
7.43	1	< 0.1%
7.54	1	< 0.1%
7.67	1	< 0.1%
8	2	< 0.1%
8.02	1	< 0.1%
8.13	1	< 0.1%
8.25	1	< 0.1%

Value	Count	Frequency (%)
13.17	1	< 0.1%
12.97	1	< 0.1%
12.78	1	< 0.1%
12.68	2	< 0.1%
12.67	1	< 0.1%
12.63	1	< 0.1%
12.62	1	< 0.1%
12.61	2	< 0.1%
12.6	1	< 0.1%
12.58	1	< 0.1%

sh308a
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	46
Missing (%)	1.1%
Memory size	238.3 KiB

2.0	1625
3.0	1287
1.0	550
4.0	411
5.0	161

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12102
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	3.0
3rd row	3.0
4th row	1.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
2.0	1625	39.8%
3.0	1287	31.5%
1.0	550	13.5%
4.0	411	10.1%
5.0	161	3.9%
(Missing)	46	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	1625	40.3%
3.0	1287	31.9%
1.0	550	13.6%
4.0	411	10.2%
5.0	161	4.0%

Most occurring characters

Value	Count	Frequency (%)
.	4034	33.3%
0	4034	33.3%
2	1625	13.4%
3	1287	10.6%
1	550	4.5%
4	411	3.4%
5	161	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8068	66.7%
Other Punctuation	4034	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4034	50.0%
2	1625	20.1%
3	1287	16.0%
1	550	6.8%
4	411	5.1%
5	161	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	4034	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12102	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4034	33.3%
0	4034	33.3%
2	1625	13.4%
3	1287	10.6%
1	550	4.5%
4	411	3.4%
5	161	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12102	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4034	33.3%
0	4034	33.3%
2	1625	13.4%
3	1287	10.6%
1	550	4.5%
4	411	3.4%
5	161	1.3%

sh308b
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	47
Missing (%)	1.2%
Memory size	238.3 KiB

3.0	1428
2.0	1395
4.0	592
1.0	433
5.0	185

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12099
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	4.0
3rd row	3.0
4th row	1.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
3.0	1428	35.0%
2.0	1395	34.2%
4.0	592	14.5%
1.0	433	10.6%
5.0	185	4.5%
(Missing)	47	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	1428	35.4%
2.0	1395	34.6%
4.0	592	14.7%
1.0	433	10.7%
5.0	185	4.6%

Most occurring characters

Value	Count	Frequency (%)
.	4033	33.3%
0	4033	33.3%
3	1428	11.8%
2	1395	11.5%
4	592	4.9%
1	433	3.6%
5	185	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8066	66.7%
Other Punctuation	4033	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4033	50.0%
3	1428	17.7%
2	1395	17.3%
4	592	7.3%
1	433	5.4%
5	185	2.3%

Other Punctuation

Value	Count	Frequency (%)
.	4033	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12099	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4033	33.3%
0	4033	33.3%
3	1428	11.8%
2	1395	11.5%
4	592	4.9%
1	433	3.6%
5	185	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12099	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4033	33.3%
0	4033	33.3%
3	1428	11.8%
2	1395	11.5%
4	592	4.9%
1	433	3.6%
5	185	1.5%

sh308c
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	50
Missing (%)	1.2%
Memory size	238.2 KiB

2.0	1519
3.0	1151
1.0	653
4.0	545
5.0	162

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12090
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	4.0
3rd row	2.0
4th row	1.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
2.0	1519	37.2%
3.0	1151	28.2%
1.0	653	16.0%
4.0	545	13.4%
5.0	162	4.0%
(Missing)	50	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	1519	37.7%
3.0	1151	28.6%
1.0	653	16.2%
4.0	545	13.5%
5.0	162	4.0%

Most occurring characters

Value	Count	Frequency (%)
.	4030	33.3%
0	4030	33.3%
2	1519	12.6%
3	1151	9.5%
1	653	5.4%
4	545	4.5%
5	162	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8060	66.7%
Other Punctuation	4030	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4030	50.0%
2	1519	18.8%
3	1151	14.3%
1	653	8.1%
4	545	6.8%
5	162	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	4030	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12090	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4030	33.3%
0	4030	33.3%
2	1519	12.6%
3	1151	9.5%
1	653	5.4%
4	545	4.5%
5	162	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4030	33.3%
0	4030	33.3%
2	1519	12.6%
3	1151	9.5%
1	653	5.4%
4	545	4.5%
5	162	1.3%

sh308d
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	57
Missing (%)	1.4%
Memory size	238.1 KiB

2.0	1539
3.0	1194
1.0	699
4.0	440
5.0	151

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12069
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	5.0
4th row	2.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
2.0	1539	37.7%
3.0	1194	29.3%
1.0	699	17.1%
4.0	440	10.8%
5.0	151	3.7%
(Missing)	57	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	1539	38.3%
3.0	1194	29.7%
1.0	699	17.4%
4.0	440	10.9%
5.0	151	3.8%

Most occurring characters

Value	Count	Frequency (%)
.	4023	33.3%
0	4023	33.3%
2	1539	12.8%
3	1194	9.9%
1	699	5.8%
4	440	3.6%
5	151	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8046	66.7%
Other Punctuation	4023	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4023	50.0%
2	1539	19.1%
3	1194	14.8%
1	699	8.7%
4	440	5.5%
5	151	1.9%

Other Punctuation

Value	Count	Frequency (%)
.	4023	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12069	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4023	33.3%
0	4023	33.3%
2	1539	12.8%
3	1194	9.9%
1	699	5.8%
4	440	3.6%
5	151	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12069	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4023	33.3%
0	4023	33.3%
2	1539	12.8%
3	1194	9.9%
1	699	5.8%
4	440	3.6%
5	151	1.3%

sh308e
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	51
Missing (%)	1.2%
Memory size	238.2 KiB

2.0	1708
3.0	1246
1.0	707
4.0	306
5.0	62

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12087
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	3.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	1708	41.9%
3.0	1246	30.5%
1.0	707	17.3%
4.0	306	7.5%
5.0	62	1.5%
(Missing)	51	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	1708	42.4%
3.0	1246	30.9%
1.0	707	17.5%
4.0	306	7.6%
5.0	62	1.5%

Most occurring characters

Value	Count	Frequency (%)
.	4029	33.3%
0	4029	33.3%
2	1708	14.1%
3	1246	10.3%
1	707	5.8%
4	306	2.5%
5	62	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8058	66.7%
Other Punctuation	4029	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4029	50.0%
2	1708	21.2%
3	1246	15.5%
1	707	8.8%
4	306	3.8%
5	62	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	4029	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12087	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4029	33.3%
0	4029	33.3%
2	1708	14.1%
3	1246	10.3%
1	707	5.8%
4	306	2.5%
5	62	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12087	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4029	33.3%
0	4029	33.3%
2	1708	14.1%
3	1246	10.3%
1	707	5.8%
4	306	2.5%
5	62	0.5%

sh308f
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	60
Missing (%)	1.5%
Memory size	238.0 KiB

2.0	1619
3.0	1185
1.0	552
4.0	452
5.0	212

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12060
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
2.0	1619	39.7%
3.0	1185	29.0%
1.0	552	13.5%
4.0	452	11.1%
5.0	212	5.2%
(Missing)	60	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	1619	40.3%
3.0	1185	29.5%
1.0	552	13.7%
4.0	452	11.2%
5.0	212	5.3%

Most occurring characters

Value	Count	Frequency (%)
.	4020	33.3%
0	4020	33.3%
2	1619	13.4%
3	1185	9.8%
1	552	4.6%
4	452	3.7%
5	212	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8040	66.7%
Other Punctuation	4020	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4020	50.0%
2	1619	20.1%
3	1185	14.7%
1	552	6.9%
4	452	5.6%
5	212	2.6%

Other Punctuation

Value	Count	Frequency (%)
.	4020	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12060	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4020	33.3%
0	4020	33.3%
2	1619	13.4%
3	1185	9.8%
1	552	4.6%
4	452	3.7%
5	212	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12060	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4020	33.3%
0	4020	33.3%
2	1619	13.4%
3	1185	9.8%
1	552	4.6%
4	452	3.7%
5	212	1.8%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	supinep	slpeffp	slpprdp	timeremp	times34p	timest1p	timest2p	waso	rdi3p	ai_all	avgsat	minsat	gender	race	age_s1	saqli	fosq	sh308a	sh308b	sh308c	sh308d	sh308e	sh308f
0	67.0	72.1	382.0	23.0	5.0	6.0	67.0	99.00	8.95	18.69	94.0	89.0	1	1	41	6.14	11.00	4.0	3.0	2.0	2.0	2.0	2.0
1	31.0	86.9	381.0	28.0	1.0	4.0	66.0	27.00	17.95	15.59	95.0	87.0	1	1	54	NaN	NaN	3.0	4.0	4.0	2.0	2.0	2.0
2	100.0	80.5	390.0	16.0	22.0	8.0	54.0	80.00	25.69	33.38	92.0	73.0	2	3	56	4.79	9.58	3.0	3.0	2.0	5.0	3.0	2.0
3	29.0	78.0	400.0	26.0	12.0	10.0	52.0	92.00	12.30	30.00	91.0	84.0	1	1	54	6.86	12.18	1.0	1.0	1.0	2.0	2.0	2.0
4	24.0	93.2	433.0	28.0	5.0	6.0	61.0	20.00	2.22	5.54	95.0	88.0	2	1	40	5.29	11.10	4.0	4.0	3.0	3.0	2.0	3.0
5	5.0	90.7	422.0	17.0	24.0	6.0	53.0	38.00	2.84	10.95	94.0	88.0	1	1	40	6.57	11.68	2.0	2.0	2.0	2.0	1.0	3.0
6	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	1	54	NaN	NaN	1.0	1.0	3.0	2.0	1.0	5.0
7	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	3	51	NaN	NaN	5.0	4.0	4.0	2.0	3.0	3.0
8	53.0	50.1	186.0	15.0	0.0	14.0	71.0	128.62	17.42	22.90	96.0	91.0	1	1	68	5.00	8.13	3.0	2.0	2.0	3.0	4.0	2.0
9	53.0	94.0	445.0	30.0	0.0	11.0	59.0	26.00	3.78	10.79	95.0	90.0	1	1	44	6.50	12.58	2.0	2.0	3.0	2.0	2.0	3.0

Last rows

	supinep	slpeffp	slpprdp	timeremp	times34p	timest1p	timest2p	waso	rdi3p	ai_all	avgsat	minsat	gender	race	age_s1	saqli	fosq	sh308a	sh308b	sh308c	sh308d	sh308e	sh308f
4070	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	1	56	NaN	NaN	4.0	4.0	5.0	5.0	4.0	4.0
4071	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	1	65	NaN	NaN	3.0	3.0	2.0	2.0	2.0	3.0
4072	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	1	55	NaN	NaN	2.0	3.0	2.0	3.0	3.0	3.0
4073	69.0	72.4	314.0	24.0	27.0	2.0	47.0	89.0	45.86	42.80	91.0	81.0	2	1	71	NaN	NaN	3.0	3.0	4.0	3.0	3.0	3.0
4074	37.0	87.8	405.0	30.0	23.0	3.0	44.0	56.0	5.93	8.74	95.0	87.0	2	1	55	NaN	NaN	3.0	4.0	4.0	2.0	3.0	3.0
4075	69.0	61.5	400.0	25.0	5.0	3.0	66.0	122.0	12.45	18.30	94.0	85.0	1	1	59	NaN	NaN	1.0	2.0	2.0	1.0	2.0	2.0
4076	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	1	54	NaN	NaN	2.0	2.0	4.0	3.0	1.0	1.0
4077	64.0	78.0	417.0	14.0	5.0	17.0	64.0	118.0	54.53	51.80	95.0	81.0	1	1	66	NaN	NaN	3.0	3.0	2.0	2.0	1.0	5.0
4078	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	1	54	NaN	NaN	3.0	3.0	2.0	1.0	1.0	2.0
4079	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	1	55	NaN	NaN	2.0	3.0	5.0	2.0	3.0	3.0

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script